ECOLI
ECOLI
Green Energy Forecasting
 
 

Dedicated to the conservation and care of our planet

 
 
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Mission

The mission of ECOLI is to contribute to reducing the effects of climate change by offering innovative solutions to the renewable energy business. On one hand, ECOLI is developing an innovative yield forecasting solution for solar plants, as well we are providing innovative finance solutions for renewable energy plants whereby we provide investors a transparant and day by day audited yield and CO² reduction reporting, using state of the art blockchain technology.

Goals

ECOLI develops a tool to provide weather observation insights necessary to help clients make profitable, sustainable energy decisions across the project lifecycle. Besides forecasting, also a reporting tool is developed, whereby even for small scale renewable powerplants CO² certificate generation and reporting is done in a cheap, affordable manner.

01.The Challenge

•Every day more solar and windpower comes onto the grid, making the Integration and energy trading an ever greater challenge

•Inbalances in the grid become more and more expensive, making accurate forecasts more valuable

•Ecoli helps its clients to make quick, risk-based decisions at individual sites, leading ultimately to higher profitability by putting the most accurate forecast information at your fingertips

02. the technology

•Hour, day and week Ahead forecasts for Solar Projects

•Information updated as soon as real-time observations are made

•A artifical Intelligence based algorithm, integrating and processing different sources of data :

–Historical weather data (weather profiles)

–Weather forecasts and rain radars

–P10 and P90 intervals

–Specific Site conditions

–On site Camera based Cloud observations

03.DASHBOARD

•Our dynamic dashboard gives an instant access to forecasting information for all project sites

–View, download and integrate data

–Customize data displays

–Access historical forecast data

•Intregrate with existing PV monitoring platforms :

–Compare forecasts with real production data

–Machine learning to improve the forecasting algorithm based on above comparisons

04. customer benefits

•Improve Peer2peer matchmaking between PV producers and final energy off takers :

–More accurate forecasts create a demand driven energy supply : fe a promotion for cheap car charging @sunny days (iso of paying for energy injection sunny days)

–Directly link energy supply with energy demand (switch on/off specific machinery in function of the supply).

 
 
 
 

“Creative adaptability is the key to fighting climate change.”

 
 
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